/*
 * Copyright (c) 2020, Peter Abeles. All Rights Reserved.
 *
 * This file is part of BoofCV (http://boofcv.org).
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package boofcv.alg.filter.binary.impl;

import boofcv.abst.filter.binary.InputToBinary;
import boofcv.alg.filter.binary.ThresholdBlock;
import boofcv.alg.filter.binary.ThresholdBlock.BlockProcessor;
import boofcv.alg.filter.binary.ThresholdBlock_MT;
import boofcv.struct.ConfigLength;
import boofcv.struct.image.ImageGray;
import boofcv.testing.BoofStandardJUnit;
import org.junit.jupiter.api.Nested;

/**
 * @author Peter Abeles
 */
public abstract class GenericThresholdBlock<T extends ImageGray<T>> extends BoofStandardJUnit {
	Class<T> imageType;

	protected GenericThresholdBlock( Class<T> imageType ) {
		this.imageType = imageType;
	}

	public abstract BlockProcessor<T, ?> createBlockProcessor( double scale, boolean down );

	@Nested
	class Regular extends GenericThresholdCommon<T> {
		public Regular() {
			super(GenericThresholdBlock.this.imageType);
		}

		@Override
		public InputToBinary<T> createAlg( int requestedBlockWidth, double scale, boolean down ) {
			BlockProcessor<T, ?> processor = createBlockProcessor(scale, down);
			return new ThresholdBlock<>(processor,
					ConfigLength.fixed(requestedBlockWidth), true, imageType);
		}
	}

	@Nested
	class Parallel extends GenericThresholdCommon<T> {
		public Parallel() {
			super(GenericThresholdBlock.this.imageType);
		}

		@Override
		public InputToBinary<T> createAlg( int requestedBlockWidth, double scale, boolean down ) {
			BlockProcessor<T, ?> processor = createBlockProcessor(scale, down);
			return new ThresholdBlock_MT<>(processor,
					ConfigLength.fixed(requestedBlockWidth), true, imageType);
		}
	}
}
